Short-term prediction of NO sub(2) and NOx concentrations using multilayer perceptron neural network: a case study of Tabriz, Iran

Due to the health effects caused by airborne pollutants in urban areas, forecasting of air quality parameters is one of the most important topics of air quality research. During recent years, statistical models based on artificial neural networks (ANNs) have been increasingly applied and evaluated f...

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Veröffentlicht in:	Ecological processes 2017-12, Vol.6 (1), p.1-9
1. Verfasser:	Rahimi, Akbar
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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